The Internet of Things (IoT) has been in development for some time and is fast becoming a popular topic within the technology world.

For those who have not heard of IoT, it is the ability to use the internet to connect, communicate with, and remotely manage both automated and networked devices.

The number of 'connected' devices is predicted to exceed 15 billion by 2015 and 50 billion by 2050. This represents an investment of more than $1 billion by venture capitalists in the IoT space in 2013, with predictions that the IoT will add $1.9 trillion to the global economy by 2020.

Most of the excitement surrounding this sector is centred around the devices that are IoT-enabled. But these gadgets also represent a new avenue for effective log management. Developers and operators need to be able to diagnose and manage the billions of log events these gadgets will generate.

While supporting frameworks for the IoT are currently in the early stages of development, there has been little discussion about standards for addressing the operational issues associated with the IoT. Specifically, how development and operations teams can manage IoT logs.

Logging is moving away from simple data to more structured formats, and the line between 'data' and 'logs' is blurring as log management systems get better at dealing with this new type of data.

Moving discussions on the outcome of standards to one side, it is vitally important to realise that IoT development and operations teams need a highly efficient log management system that they can all use and understand. This will locate and resolve issues quickly that might occur at any given moment, in a similar vein to those already in place for operations like Software as a Service (SaaS).

Such log monitoring software is cost effective, as issues are dealt with proactively and the up-time of the IoT is also ensured.

To learn more about how a log management solution like Logit can improve the operations of your IoT solutions, try a free trial today [].